CONSTRUCTION SITE RESOURCE ALLOCATION STRATEGY OF DISTRIBUTED PHOTOVOLTAIC IN INCREMENTAL DISTRIBUTION NETWORK BASED ON GAME THEORY

Tian Shuya; Sun Lingling; Zhou Xu; Wang Ning

doi:10.19912/j.0254-0096.tynxb.2020-1338

PDF(1264 KB)

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (8) : 41-49. DOI: 10.19912/j.0254-0096.tynxb.2020-1338

CONSTRUCTION SITE RESOURCE ALLOCATION STRATEGY OF DISTRIBUTED PHOTOVOLTAIC IN INCREMENTAL DISTRIBUTION NETWORK BASED ON GAME THEORY

Tian Shuya¹, Sun Lingling¹, Zhou Xu^1,2, Wang Ning¹

Author information +

History +

Abstract

Reasonable planning and construction of distributed photovoltaic in the incremental distribution network can effectively improve the renewable energy consumption capacity. In order to achieve this goal better, the construction site resource allocation strategy of distributed photovoltaic system based on game theory is proposed. Firstly, the game idea of site resource allocation is expounded, and then the benefit function models of investors and users are established respectively. The game transmission relationship and game behavior of investors and users as participants are analyzed. On this basis, the dynamic game model between investors and users is established. Finally, the above model is solved by particle swarm optimization algorithm and iterative algorithm. The rationality and effectiveness of the proposed method, which is conducive to renewable energy consumption of incremental distribution network.

Key words

electric distribution network / photovoltaic / distributed power generation / game theory / resource allocation / particle swarm optimization

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Tian Shuya, Sun Lingling, Zhou Xu, Wang Ning. CONSTRUCTION SITE RESOURCE ALLOCATION STRATEGY OF DISTRIBUTED PHOTOVOLTAIC IN INCREMENTAL DISTRIBUTION NETWORK BASED ON GAME THEORY[J]. Acta Energiae Solaris Sinica. 2022, 43(8): 41-49 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1338

References

[1] 国家发展改革委, 国家能源局. 有序放开配电网业务管理办法[EB/OL]. http://www.nea.gov.cn/2016-10/11/c_135746081.htm, 2016-10-08.
National Development and Reform Commission,State Energy Administration. Measures for orderly liberalizing distribution network business management[EB/OL]. http://www.nea.gov.cn/2016-10/11/c_135746081.htm,2016-10-08.
[2] 叶彬, 刘敦楠, 杨娜, 等. 基于实物期权的增量配电网投资决策[J]. 电力系统自动化, 2018, 42(21): 178-185.
YE B, LIU D N, YANG N, et al.Real options based investment decision-making for incremental distribution networks[J]. Automation of electric power system, 2018, 42(21): 178-185.
[3] 国家发展改革委. 关于规范开展增量配电业务改革试点的通知[EB/OL]. https://www.ndrc.gov.cn/xwdt/ztzl/pppzl/zcfg/201701/t20170123_1033199.html, 2016-11-27.
National Development and Reform Commission. Notice on standardizing the pilot project of incremental distribution business reform [EB/OL]. https://www.ndrc.gov.cn/xwdt/ztzl/pppzl/zcfg/201701/t20170123_1033199.html, 2016-11-27.
[4] 李薇, 包哲, 杨涵晟, 等. 基于区间数理论的园区分布式综合能源系统效益及影响因素分析[J]. 太阳能学报, 2020, 41(2): 339-346.
LI W, BAO Z, YANG H S, et al.Cost-benefit and influencing factors analysis of distributed comprehensive energy system based on interval number theory[J]. Acta energiae solaris sinica, 2020, 41(2): 339-346.
[5] 钱佳佳, 陆晓芬, 冯昊, 等. 基于改进TOPSIS法的增量配电网投资风险评估[J]. 能源工程, 2019, 40(5): 8-14.
QIAN J J, LU X F, FENG H, et al.Investment risk assessment in incremental power distribution network based on improved TOPSIS method[J]. Energy engineering, 2019, 40(5): 8-14.
[6] 钱佳佳, 陆晓芬, 冯昊, 等. 增量配电网差异化配电价格模型研究与应用[J]. 浙江电力, 2019, 38(4): 96-102.
QIAN J J, LU X F, FENG H, et al.Study and application of differential distribution price model in incremental power distribution network[J]. Zhejiang electric power, 2019, 38(4): 96-102.
[7] 江知瀚, 陈金富. 计及不确定性和多投资主体需求指标的分布式电源优化配置方法研究[J]. 中国电机工程学报, 2013, 33(31): 34-42, 4.
JIANG Z H, CHEN J F.Optimal distributed generator allocation method considering uncertainties and requirements of different investment entities[J]. Proceedings of the CSEE, 2013, 33(31): 34-42, 4.
[8] 薛金花, 叶季蕾, 陶琼, 等. 面向不同投资主体的分布式光伏运营策略研究[J]. 电网技术, 2017, 41(1): 93-98.
XUE J H, YE J L, TAO Q, et al.Operating strategy of distributed PV system for different investors[J]. Power system technology, 2017, 41(1): 93-98.
[9] 方略, 程浩忠. 计及独立发电商利益的分布式电源规划及决策[J]. 水电能源科学, 2015, 33(4): 193-198.
FANG L, CHENG H Z.Distributed power generation planning and decision considering benefits of independent power suppliers[J]. Water resources and power, 2015, 33(4): 193-198.
[10] SU W C, HUANG A Q.A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers[J]. Applied energy, 2014, 119: 341-350.
[11] 张金良, 张文文, 李德智, 等. 基于合作博弈理论的增量配网收益分配策略研究[J]. 电力需求侧管理, 2018, 20(4): 22-27.
ZHANG J L, ZHANG W W, LI D Z, et al.Research on income distribution of incremental distribution network based on cooperative game theory[J]. Power demand side management, 2018, 20(4): 22-27.
[12] 杨楠, 董邦天, 黄禹, 等. 考虑不确定性和多主体博弈的增量配电网源网荷协同规划方法[J]. 中国电机工程学报, 2019, 39(9): 2689-2702.
YANG N, DONG B T, HUANG Y, et al.Incremental distribution network source-load collaborative planning method considering uncertainty and multi-agent game[J]. Proceedings of the CSEE, 2019, 39(9): 2689-2702.
[13] 李晨迪, 陈渊睿, 曾君, 等. 基于非合作博弈的微电网能量管理系统优化算法[J]. 电网技术, 2016, 40(2): 387-395.
LI C D, CHEN Y R, ZENG J, et al.Research on optimization algorithm of microgrid energy management system based on non-cooperative game theory[J]. Power system technology, 2016, 40(2): 387-395.
[14] 林凯骏, 吴俊勇, 郝亮亮, 等. 基于非合作博弈的冷热电联供微能源网运行策略优化[J]. 电力系统自动化, 2018, 42(6): 25-32.
LIN K J, WU J J, HAO L L, et al.Optimization of operation strategy for micro-energy grid with CCHP systems based on non-cooperative game[J]. Automation of electric power system, 2018, 42(6): 25-32.
[15] 刘连光, 潘明明, 田世明, 等. 考虑源网荷多元主体的售电竞争非合作博弈方法[J]. 中国电机工程学报, 2017, 37(6): 1618-1626.
LIU L G, PAN M M, TIAN S M, et al.A non-cooperative game analysis of an competitive electricity retail considering multiple subjects of source-grid-load[J]. Proceedings of the CSEE, 2017, 37(6): 1618-1626.
[16] 陈修鹏, 李庚银, 夏勇. 基于主从博弈的新型城镇配电系统产消者竞价策略[J]. 电力系统自动化, 2019, 43(14): 97-110.
CHEN X P, LI G Y, XIA Y.Stackelberg game based bidding strategy for prosumers in new urban distribution system[J]. Automation of electric power system, 2019, 43(14): 97-110.
[17] 贾清泉, 赵美超, 孙玲玲, 等. 主动配电网中计及时序性与相关性的分布式光伏并网规划[J]. 中国电机工程学报, 2018, 38(6): 1719-1728, 1908.
JIA Q Q, ZHAO M C, SUN L L, et al.Planning for grid-connection of distributed PVs considering the sequential feature and correlation in active distribution network[J]. Proceedings of the CSEE, 2018, 38(6): 1719-1728, 1908.
[18] 王锰, 赵英汝, 张浩然, 等. 基于粒子群算法的海洋温差能朗肯循环系统多目标优化[J]. 太阳能学报, 2019, 40(10): 2716-2724.
WANG M, ZHAO Y R, ZHANG H R, et al.Multi-objective optimization of OTEC rankine cycle based on PSO algorithm[J]. Acta energiae solaris sinica, 2019, 40(10): 2716-2724.